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International Conference in Communications, Signal Processing, and Systems

CSPS 2018: Communications, Signal Processing, and Systems pp 354–360Cite as

An Improved Robust Kalman Filter for Real-Time Detection of Cycle Slips in the Single-Frequency Carrier Phase Measurements Validated with BDS Data

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 516))

Abstract

The detection of cycle slips and outliers in single-frequency carrier phase data, or any other type of un-expected changes in the single-frequency carrier phase measurements of the GNSS, is one of the major data preprocessing problems that needs to be addressed, especially single-frequency receivers account for most of the market share and GNSS carrier phase data are used for real-time applications that require reliable position results. In this contribution the improved RKF (Robust Kalman Filter) is designed to detect cycle slips or unexpected changes when single-frequency carrier phase is interfered by small outliers, in order to improve the cycle slip detection success rates. Real BDS single-frequency data have been used to test and evaluate the algorithm, where the simulation results indicate that the improved RKF has a higher cycle slip detection success rate than the RKF when observations are interfered by small outliers, proving the efficiency of the algorithm proposed in this paper.

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References

  1. Ju B, Gu D, Chang X et al. Enhanced cycle slip detection method for dual-frequency BeiDou GEO carrier phase observations. GPS Solutions, 2017; p. 1–12.

    Google Scholar 

  2. Zhang X, Zeng Q, He J, Kang C. Improving TurboEdit real-time cycle slip detection by the construction of threshold model. Geomatics Inf Sci Wuhan Univ. 2017;42(3):285–92.

    Google Scholar 

  3. Zhou W. Research and realization on theories and methods of precise positioning base on BeiDou navigation satellite system. PLA Information Engineering University, 2013.

    Google Scholar 

  4. Wang C, Wang J. Cycle slip detection and correction of single frequency undifferenced phase observation. J Tongji Univ (Nat Sci). 2012;40(9):1393–8.

    Google Scholar 

  5. Li X, Wu M, Zhang K. Applying outlier test theory to detect and correct cycle-slip. Chin J Sci Instrum. 2012;33(10):2315–21.

    MathSciNet  Google Scholar 

  6. Yao Y, Gao J, Li Z, Tan X. Research on robust kalman filter of observations with unequal precision in precise point positioning. Geomatics Inf Sci Wuhan Univ. 2017;42(3):314–20.

    Google Scholar 

  7. Zhang X, Pan Y, Zuo X, Wang J. An improved robust kalman filtering and its application in PPP. Geomatics Inf Sci Wuhan Univ. 2015;40(7):858–64.

    Google Scholar 

  8. Yang Y, He H. Adaptive robust filtering for kinematic GPS positioning. Acta Geodaetica Et Cartographica Sinica. 2001;30(4):293–8.

    Google Scholar 

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Author information

Authors and Affiliations

  1. Academy of Space Electrical Information Technology, Xi’an, 710100, China

    Ye Tian & Yizhe Jia

Authors
  1. Ye Tian
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  2. Yizhe Jia
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Corresponding author

Correspondence to Ye Tian .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, University of Texas at Arlington, Arlington, TX, USA

    Qilian Liang

  2. School of Information and Communication Engineering, Dalian University of Technology, Dalian, China

    Xin Liu

  3. School of Information Science and Technology, Dalian Maritime University, Dalian, China

    Zhenyu Na

  4. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Wei Wang

  5. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Jiasong Mu

  6. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Baoju Zhang

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© 2020 Springer Nature Singapore Pte Ltd.

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Cite this paper

Tian, Y., Jia, Y. (2020). An Improved Robust Kalman Filter for Real-Time Detection of Cycle Slips in the Single-Frequency Carrier Phase Measurements Validated with BDS Data. In: Liang, Q., Liu, X., Na, Z., Wang, W., Mu, J., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2018. Lecture Notes in Electrical Engineering, vol 516. Springer, Singapore. https://doi.org/10.1007/978-981-13-6504-1_44

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  • DOI: https://doi.org/10.1007/978-981-13-6504-1_44

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-6503-4

  • Online ISBN: 978-981-13-6504-1

  • eBook Packages: EngineeringEngineering (R0)

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